1. Chapter 13 Analysing qualitative data

2. Analysing qualitative data (1)
Definition
‘Qualitative data refers to all non-numeric data or data that have not been quantified and can be a product of all research strategies’
Saunders et al. (2009)

3. Analysing qualitative data (2)
Distinctions between quantitative and qualitative data
Saunders et al. (2009)
Table Distinctions between quantitative and qualitative data

4. Preparing data for analysis
Key issues
Transcribing qualitative data
Using electronic textual data including scanned documents
The interactive nature of the process

5. Approaches to qualitative analysis
Main approaches
The deductive approach
The inductive approach

6. Types of qualitative analysis process (1)
Main types
Summarising (condensation) of meanings
Categorising (grouping) of meanings
Structuring (ordering of meanings using narrative
Saunders et al. (2009)

7. Types of qualitative analysis process (2)
Dimensions of qualitative analysis
Saunders et al. (2009)
Figure Dimensions of qualitative analysis

8. Categorising data Points to consider Deriving categories
‘Unitising’ data
Recognising relationships and developing categories
Developing testable propositions
Qualifying your qualitative data

9. Types of analytical aids
Interim summaries
Self-memos
Researcher’s diary

10. Deductively based analytical procedures
Procedures applicable to qualitative analysis
Pattern matching
Explanation building

11. Inductively based analytical procedures
Procedures applicable to qualitative analysis
Data display and analysis
Template analysis
Analytic induction
Grounded theory – open, axial and selected coding
Discourse analysis
Narrative analysis

12. Discourse analysis
A three-dimensional analytical framework for critical discourse analysis
Saunders et al. (2009)
Figure A three-dimensional analytical framework for critical discourse analysis

13. Using CAQDAS for qualitative analysis (1)
Summary of functions
Structure of work
Closeness to data and interactivity
Explore the data
Code and retrieve
Project management and data organisation
Searching and interrogating
Writing memos, comments and note
Output
Lewins and Silver (2006)

14. Using CAQDAS for qualitative analysis (2)
Checklist Box 13.17
Complete the Checklist in Box 13.17
to help you choose a CAQDAS package
Saunders et al. (2009)

15. Summary: Chapter 13
Qualitative data result from the collection of non-standardised data that require classification and are analysed through use of conceptualisation
Qualitative analysis can involve summarising, categorising and structuring data
The process of data analysis and collection are necessarily interactive

16. Summary: Chapter 13
Aids to analysis include interim summaries, self-memos and maintaining a researcher diary
Qualitative analysis procedures can be related to using either a deductive or inductive approach
Computer-assisted qualitative data analysis software (CAQDAS) can help with project management and data organisation